Text-to-Image
Diffusers
English
FluxPipeline
template:sd-lora
flux
lora
flux dev
image-generation
photo
Instructions to use AlekseyCalvin/ASSA_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/ASSA_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/ASSA_lora") prompt = "movie cover" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#4
by AlekseyCalvin - opened
Generated example for model AlekseyCalvin/ASSA_lora.
Prompt: HST style autochrome color photograph of anthropomorphic animals, a hippo and a tiger, getting drunk in London, close up faces, in detailed San Francisco streets, blue sky, sunny, vivid, daytime, (((hippo and tiger))), gritty, analog camera, dslr, labeled text "ASSA LoRA" in bottom right corner))
AlekseyCalvin changed pull request status to merged